Dermatology

A Novel Weakly Supervised Multitask Architecture for Retinal Lesions Segmentation on Fundus Images.

Obtaining the complete segmentation map of retinal lesions is the first step toward an automated dia...

Augmented Intelligence in Dermatology: Fantasy or Future?

Gene Expression Classification of Lung Adenocarcinoma into Molecular Subtypes.

As one of the most common malignancies in the world, lung adenocarcinoma (LUAD) is currently difficu...

A convolutional neural network trained with dermoscopic images performed on par with 145 dermatologists in a clinical melanoma image classification task.

BACKGROUND: Recent studies have demonstrated the use of convolutional neural networks (CNNs) to clas...

Classifying Breast Cancer Subtypes Using Multiple Kernel Learning Based on Omics Data.

It is very significant to explore the intrinsic differences in breast cancer subtypes. These intrins...

Artificial intelligence and dermatology: opportunities, challenges, and future directions.

The application of artificial intelligence (AI) to medicine has considerable potential within dermat...

Joint Prostate Cancer Detection and Gleason Score Prediction in mp-MRI via FocalNet.

Multi-parametric MRI (mp-MRI) is considered the best non-invasive imaging modality for diagnosing pr...

Comparing artificial intelligence algorithms to 157 German dermatologists: the melanoma classification benchmark.

BACKGROUND: Several recent publications have demonstrated the use of convolutional neural networks t...

Joint reconstruction and classification of tumor cells and cell interactions in melanoma tissue sections with synthesized training data.

PURPOSE: Cancers are almost always diagnosed by morphologic features in tissue sections. In this con...

Attention to Lesion: Lesion-Aware Convolutional Neural Network for Retinal Optical Coherence Tomography Image Classification.

Automatic and accurate classification of retinal optical coherence tomography (OCT) images is essent...

Comparative assessment of CNN architectures for classification of breast FNAC images.

Fine needle aspiration cytology (FNAC) entails using a narrow gauge (25-22 G) needle to collect a sa...

Attention Residual Learning for Skin Lesion Classification.

Automated skin lesion classification in dermoscopy images is an essential way to improve the diagnos...

Dermoscopy diagnosis of cancerous lesions utilizing dual deep learning algorithms via visual and audio (sonification) outputs: Laboratory and prospective observational studies.

BACKGROUND: Early diagnosis of skin cancer lesions by dermoscopy, the gold standard in dermatologica...

Melanoma lesion detection and segmentation using deep region based convolutional neural network and fuzzy C-means clustering.

OBJECTIVE: Melanoma is a dangerous form of the skin cancer responsible for thousands of deaths every...

Identification of a closed cutaneous injury after mechanical trauma caused by collision.

PURPOSE: Robotics has evolved rapidly in terms of mechanical design and control in the past few year...

Clinical Value of Machine Learning in the Automated Detection of Focal Cortical Dysplasia Using Quantitative Multimodal Surface-Based Features.

To automatically detect focal cortical dysplasia (FCD) lesion by combining quantitative multimodal ...

Learning to detect chest radiographs containing pulmonary lesions using visual attention networks.

Machine learning approaches hold great potential for the automated detection of lung nodules on ches...

Extracellular Vesicles Released by () Promote Disease Progression and Induce the Production of Different Cytokines in Macrophages and B-1 Cells.

The extracellular vesicles (EVs) released by can contribute to the establishment of infection and h...

Automated detection of erythema migrans and other confounding skin lesions via deep learning.

Lyme disease can lead to neurological, cardiac, and rheumatologic complications when untreated. Time...

Serum Procalcitonin and Presepsin Levels in Patients with Generalized Pustular Psoriasis.

Patients with generalized pustular psoriasis (GPP) often present with symptoms that must be differen...

An empirical evaluation of multivariate lesion behaviour mapping using support vector regression.

Multivariate lesion behaviour mapping based on machine learning algorithms has recently been suggest...